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Data scientist

Mercedes-Benz Group AG -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
7 days ago

Qualifications

CI/CD
Cloud infrastructure
Azure
Big data
DevOps
Git
Databases
Continuous integration
Software development
AI
Python

Full job description

Tätigkeitsbereich:IT/Telekommunikation

Fachabteilung:Data & AI Solutions - 2

Gesellschaft:Mercedes-Benz Research and Development India Private Limited

Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore

Startdatum:sofort

Veröffentlichungsdatum:10.06.2026

Stellennummer:MER000431U

Arbeitszeit:Vollzeit

Aufgaben

Experience: 2–6 years
Location: Bangalore
Employment Type: Full-time
Staff Level: T8/T9

Responsibilities:

Design and develop scalable applications leveraging Generative AI technologies for software process automation and intelligent data retrieval.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and VLMs to enhance chatbot capabilities and contextual understanding.
Collaborate with cross-functional teams to deploy AI-powered solutions on Azure cloud infrastructure.
Integrate Python-based backend services with cloud-native tools for seamless deployment and monitoring.
Continuously evaluate and improve application performance, security, and reliability in production environments.

Required Skillsets:

GenAI Expertise: Hands-on experience with LLMs (e.g., GPT, LLama), VLMs, and RAG architecture.
Programming: Strong proficiency in Python, including frameworks like FastAPI, LangChain, or similar. Need solid skills using Pyspark for processing big data (efficient data transformations)
Cloud & DevOps: Experience deploying and managing applications on Azure, including Azure Functions, App Services, and Azure AI services.
Database & Retrieval: Familiarity with vector databases (e.g., ChromaDB, Pinecone) and efficient data retrieval techniques.
Software Engineering: Solid understanding of software development lifecycles, version control (Git), and CI/CD pipelines.

Qualifikationen

Experience: 2–6 years
LocatioExperience: 2–6 years
Location: Bangalore
Employment Type: Full-time
Staff Level: T8/T9

Responsibilities:

Design and develop scalable applications leveraging Generative AI technologies for software process automation and intelligent data retrieval.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and VLMs to enhance chatbot capabilities and contextual understanding.
Collaborate with cross-functional teams to deploy AI-powered solutions on Azure cloud infrastructure.
Integrate Python-based backend services with cloud-native tools for seamless deployment and monitoring.
Continuously evaluate and improve application performance, security, and reliability in production environments.

Required Skillsets:

GenAI Expertise: Hands-on experience with LLMs (e.g., GPT, LLama), VLMs, and RAG architecture.
Programming: Strong proficiency in Python, including frameworks like FastAPI, LangChain, or similar. Need solid skills using Pyspark for processing big data (efficient data transformations)
Cloud & DevOps: Experience deploying and managing applications on Azure, including Azure Functions, App Services, and Azure AI services.
Database & Retrieval: Familiarity with vector databases (e.g., ChromaDB, Pinecone) and efficient data retrieval techniques.
Software Engineering: Solid understanding of software development lifecycles, version control (Git), and CI/CD pipelines.n: Bangalore
Employment Type: Full-time
Staff Level: T8/T9

Responsibilities:

Design and develop scalable applications leveraging Generative AI technologies for software process automation and intelligent data retrieval.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and VLMs to enhance chatbot capabilities and contextual understanding.
Collaborate with cross-functional teams to deploy AI-powered solutions on Azure cloud infrastructure.
Integrate Python-based backend services with cloud-native tools for seamless deployment and monitoring.
Continuously evaluate and improve application performance, security, and reliability in production environments.

Required Skillsets:

GenAI Expertise: Hands-on experience with LLMs (e.g., GPT, LLama), VLMs, and RAG architecture.
Programming: Strong proficiency in Python, including frameworks like FastAPI, LangChain, or similar. Need solid skills using Pyspark for processing big data (efficient data transformations)
Cloud & DevOps: Experience deploying and managing applications on Azure, including Azure Functions, App Services, and Azure AI services.
Database & Retrieval: Familiarity with vector databases (e.g., ChromaDB, Pinecone) and efficient data retrieval techniques.
Software Engineering: Solid understanding of software development lifecycles, version control (Git), and CI/CD pipelines.

Benefits

Mitarbeiterrabatte möglich

Gesundheitsmaßnahmen

Mitarbeiterhandy möglich

Essenszulagen

Betriebliche Altersversorgung

Hybrides Arbeiten möglich

Mobilitätsangebote

Mitarbeiter Events

Coaching

Flexible Arbeitszeit möglich

Kinderbetreuung

Parkplatz

Kantine, Café

Gute Anbindung

Barrierefreiheit

Betriebsarzt

KontaktMercedes-Benz Research and Development India Private Limited

Plot No. 5-P, EPIP 1st Phase560066 BangaloreDetails zum Standort

Cyril Jacob E-Mail: [email protected]

Apply Now

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